@Article{JCM-41-6,
author = {Linxiu, Fan and Xingjun, Luo and Zhang, Rong and Zeng, Chunmei and Yang, Suhua},
title = {A Multiscale Projection Method for Solving Nonlinear Integral Equations Under the Lipschitz Condition},
journal = {Journal of Computational Mathematics},
year = {2023},
volume = {41},
number = {6},
pages = {1222--1245},
abstract = {<p style="text-align: justify;">We propose a multiscale projection method for the numerical solution of the irtatively
regularized Gauss-Newton method of nonlinear integral equations. An a posteriori rule is
suggested to choose the stopping index of iteration and the rates of convergence are also
derived under the Lipschitz condition. Numerical results are presented to demonstrate the
efficiency and accuracy of the proposed method.</p>},
issn = {1991-7139},
doi = {https://doi.org/10.4208/jcm.2202-m2021-0206},
url = {https://global-sci.com/article/84162/a-multiscale-projection-method-for-solving-nonlinear-integral-equations-under-the-lipschitz-condition}
}